Triple
T26551905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Bond |
E671699
|
entity |
| Predicate | publicationDateOfFirstPaddingtonBook |
P119472
|
FINISHED |
| Object | 1958 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 1958 | Statement: [Michael Bond, publicationDateOfFirstPaddingtonBook, 1958]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicationDateOfFirstPaddingtonBook Context triple: [Michael Bond, publicationDateOfFirstPaddingtonBook, 1958]
-
A.
firstBookPublicationDate
Indicates the calendar date on which an entity’s first book was officially published.
-
B.
firstBookEnglishPublicationYear
chosen
Indicates the calendar year in which an entity’s first book was originally published in English.
-
C.
firstUKPublicationYear
Indicates the year in which an entity was first published in the United Kingdom.
-
D.
firstEditionPublicationYear
Indicates the year in which an entity’s first edition was originally published.
-
E.
novelReleaseYear
Indicates the calendar year in which a novel was first released or published.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69eeb32163f08190af5f81282738e27a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f71996e1a48190ac59a1d66d7c44e8 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
Created at: April 27, 2026, 1:47 a.m.